Overview

Brought to you by YData

Dataset statistics

Number of variables	54
Number of observations	125
Missing cells	44
Missing cells (%)	0.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	52.9 KiB
Average record size in memory	433.1 B

Variable types

Numeric	11
Categorical	36
Text	7

Alerts

`Gender` is highly overall correlated with `weight`	High correlation
`eating_changes_coded` is highly overall correlated with `eating_changes_coded1`	High correlation
`eating_changes_coded1` is highly overall correlated with `eating_changes_coded`	High correlation
`healthy_feeling` is highly overall correlated with `life_rewarding`	High correlation
`indian_food` is highly overall correlated with `persian_food` and 1 other fields	High correlation
`life_rewarding` is highly overall correlated with `healthy_feeling`	High correlation
`persian_food` is highly overall correlated with `indian_food`	High correlation
`thai_food` is highly overall correlated with `indian_food`	High correlation
`weight` is highly overall correlated with `Gender`	High correlation
`fries` is highly imbalanced (57.0%)	Imbalance
`comfort_food_reasons` has 2 (1.6%) missing values	Missing
`cook` has 3 (2.4%) missing values	Missing
`drink` has 2 (1.6%) missing values	Missing
`eating_changes` has 3 (2.4%) missing values	Missing
`employment` has 9 (7.2%) missing values	Missing
`father_profession` has 3 (2.4%) missing values	Missing
`fav_cuisine` has 2 (1.6%) missing values	Missing
`fav_food` has 2 (1.6%) missing values	Missing
`mother_education` has 3 (2.4%) missing values	Missing
`mother_profession` has 2 (1.6%) missing values	Missing
`sports` has 2 (1.6%) missing values	Missing
`fav_cuisine_coded` has 6 (4.8%) zeros	Zeros

Reproduction

Analysis started	2025-04-11 02:54:08.674711
Analysis finished	2025-04-11 02:54:21.612240
Duration	12.94 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

GPA
Real number (ℝ)

Distinct	37
Distinct (%)	29.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4186529

Minimum	2.2
Maximum	4
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	2.2
5-th percentile	2.8
Q1	3.2
median	3.5
Q3	3.7
95-th percentile	3.9
Maximum	4
Range	1.8
Interquartile range (IQR)	0.5

Descriptive statistics

Standard deviation	0.38365649
Coefficient of variation (CV)	0.11222446
Kurtosis	0.43658389
Mean	3.4186529
Median Absolute Deviation (MAD)	0.27
Skewness	-0.77246485
Sum	427.33161
Variance	0.1471923
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
3.5	13	10.4%
3	11	8.8%
3.2	10	8.0%
3.7	10	8.0%
3.3	9	7.2%
3.4	9	7.2%
3.9	7	5.6%
3.6	7	5.6%
3.8	6	4.8%
2.8	5	4.0%
Other values (27)	38	30.4%

Value	Count	Frequency (%)
2.2	1	0.8%
2.25	1	0.8%
2.4	1	0.8%
2.6	2	1.6%
2.71	1	0.8%
2.8	5	4.0%
2.9	2	1.6%
3	11	8.8%
3.1	3	2.4%
3.2	10	8.0%

Value	Count	Frequency (%)
4	4	3.2%
3.92	1	0.8%
3.904	1	0.8%
3.9	7	5.6%
3.89	1	0.8%
3.882	1	0.8%
3.87	1	0.8%
3.83	2	1.6%
3.8	6	4.8%
3.79	1	0.8%

Gender
Categorical

High correlation

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1	76
2	49

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	76	60.8%
2	49	39.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	76	60.8%
2	49	39.2%

Most occurring characters

Value	Count	Frequency (%)
1	76	60.8%
2	49	39.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	76	60.8%
2	49	39.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	76	60.8%
2	49	39.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	76	60.8%
2	49	39.2%

breakfast
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1	111
2	14

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	111	88.8%
2	14	11.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	111	88.8%
2	14	11.2%

Most occurring characters

Value	Count	Frequency (%)
1	111	88.8%
2	14	11.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	111	88.8%
2	14	11.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	111	88.8%
2	14	11.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	111	88.8%
2	14	11.2%

calories_day
Categorical

Distinct	4
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

3.0	63
4.0	23
2.0	20
0.0	19

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	375
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	3.0
3rd row	4.0
4th row	3.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
3.0	63	50.4%
4.0	23	18.4%
2.0	20	16.0%
0.0	19	15.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.0	63	50.4%
4.0	23	18.4%
2.0	20	16.0%
0.0	19	15.2%

Most occurring characters

Value	Count	Frequency (%)
0	144	38.4%
.	125	33.3%
3	63	16.8%
4	23	6.1%
2	20	5.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	375	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	144	38.4%
.	125	33.3%
3	63	16.8%
4	23	6.1%
2	20	5.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	375	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	144	38.4%
.	125	33.3%
3	63	16.8%
4	23	6.1%
2	20	5.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	375	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	144	38.4%
.	125	33.3%
3	63	16.8%
4	23	6.1%
2	20	5.3%

calories_scone
Categorical

Distinct	3
Distinct (%)	2.4%
Missing	1
Missing (%)	0.8%
Memory size	1.1 KiB

420.0	79
980.0	23
315.0	22

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	620
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	315.0
2nd row	420.0
3rd row	420.0
4th row	420.0
5th row	420.0

Common Values

Value	Count	Frequency (%)
420.0	79	63.2%
980.0	23	18.4%
315.0	22	17.6%
(Missing)	1	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
420.0	79	63.7%
980.0	23	18.5%
315.0	22	17.7%

Most occurring characters

Value	Count	Frequency (%)
0	226	36.5%
.	124	20.0%
4	79	12.7%
2	79	12.7%
9	23	3.7%
8	23	3.7%
3	22	3.5%
1	22	3.5%
5	22	3.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	620	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	226	36.5%
.	124	20.0%
4	79	12.7%
2	79	12.7%
9	23	3.7%
8	23	3.7%
3	22	3.5%
1	22	3.5%
5	22	3.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	620	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	226	36.5%
.	124	20.0%
4	79	12.7%
2	79	12.7%
9	23	3.7%
8	23	3.7%
3	22	3.5%
1	22	3.5%
5	22	3.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	620	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	226	36.5%
.	124	20.0%
4	79	12.7%
2	79	12.7%
9	23	3.7%
8	23	3.7%
3	22	3.5%
1	22	3.5%
5	22	3.5%

coffee
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

2	94
1	31

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	94	75.2%
1	31	24.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	94	75.2%
1	31	24.8%

Most occurring characters

Value	Count	Frequency (%)
2	94	75.2%
1	31	24.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	94	75.2%
1	31	24.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	94	75.2%
1	31	24.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	94	75.2%
1	31	24.8%

comfort_food
Text

Distinct	124
Distinct (%)	100.0%
Missing	1
Missing (%)	0.8%
Memory size	1.1 KiB

Length

Max length	97
Median length	48
Mean length	34.766129
Min length	4

Characters and Unicode

Total characters	4311
Distinct characters	52
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	124 ?
Unique (%)	100.0%

Sample

1st row	none
2nd row	chocolate, chips, ice cream
3rd row	frozen yogurt, pizza, fast food
4th row	Pizza, Mac and cheese, ice cream
5th row	Ice cream, chocolate, chips

Value	Count	Frequency (%)
ice	50	7.9%
cream	47	7.4%
and	40	6.3%
pizza	40	6.3%
chocolate	35	5.5%
chips	34	5.3%
cheese	22	3.5%
cookies	19	3.0%
mac	17	2.7%
chicken	14	2.2%
Other values (169)	318	50.0%

Most occurring characters

Value	Count	Frequency (%)
	552	12.8%
e	441	10.2%
a	354	8.2%
c	344	8.0%
,	260	6.0%
s	247	5.7%
o	245	5.7%
i	240	5.6%
r	177	4.1%
n	166	3.9%
Other values (42)	1285	29.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4311	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	552	12.8%
e	441	10.2%
a	354	8.2%
c	344	8.0%
,	260	6.0%
s	247	5.7%
o	245	5.7%
i	240	5.6%
r	177	4.1%
n	166	3.9%
Other values (42)	1285	29.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4311	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	552	12.8%
e	441	10.2%
a	354	8.2%
c	344	8.0%
,	260	6.0%
s	247	5.7%
o	245	5.7%
i	240	5.6%
r	177	4.1%
n	166	3.9%
Other values (42)	1285	29.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4311	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	552	12.8%
e	441	10.2%
a	354	8.2%
c	344	8.0%
,	260	6.0%
s	247	5.7%
o	245	5.7%
i	240	5.6%
r	177	4.1%
n	166	3.9%
Other values (42)	1285	29.8%

comfort_food_reasons
Text

Missing

Distinct	106
Distinct (%)	86.2%
Missing	2
Missing (%)	1.6%
Memory size	1.1 KiB

Length

Max length	137
Median length	59
Mean length	26.902439
Min length	4

Characters and Unicode

Total characters	3309
Distinct characters	55
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	97 ?
Unique (%)	78.9%

Sample

1st row	we dont have comfort
2nd row	Stress, bored, anger
3rd row	stress, sadness
4th row	Boredom
5th row	Stress, boredom, cravings

Value	Count	Frequency (%)
boredom	74	14.6%
sadness	42	8.3%
stress	33	6.5%
and	26	5.1%
i	19	3.7%
when	12	2.4%
anger	10	2.0%
comfort	10	2.0%
happiness	9	1.8%
bored	9	1.8%
Other values (158)	264	52.0%

Most occurring characters

Value	Count	Frequency (%)
	424	12.8%
s	344	10.4%
e	339	10.2%
o	287	8.7%
r	210	6.3%
d	203	6.1%
a	189	5.7%
n	189	5.7%
t	131	4.0%
m	128	3.9%
Other values (45)	865	26.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3309	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	424	12.8%
s	344	10.4%
e	339	10.2%
o	287	8.7%
r	210	6.3%
d	203	6.1%
a	189	5.7%
n	189	5.7%
t	131	4.0%
m	128	3.9%
Other values (45)	865	26.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3309	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	424	12.8%
s	344	10.4%
e	339	10.2%
o	287	8.7%
r	210	6.3%
d	203	6.1%
a	189	5.7%
n	189	5.7%
t	131	4.0%
m	128	3.9%
Other values (45)	865	26.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3309	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	424	12.8%
s	344	10.4%
e	339	10.2%
o	287	8.7%
r	210	6.3%
d	203	6.1%
a	189	5.7%
n	189	5.7%
t	131	4.0%
m	128	3.9%
Other values (45)	865	26.1%

cook
Categorical

Missing

Distinct	5
Distinct (%)	4.1%
Missing	3
Missing (%)	2.4%
Memory size	1.1 KiB

3.0	49
2.0	34
4.0	18
1.0	13
5.0	8

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	366
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	3.0
3rd row	1.0
4th row	2.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
3.0	49	39.2%
2.0	34	27.2%
4.0	18	14.4%
1.0	13	10.4%
5.0	8	6.4%
(Missing)	3	2.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.0	49	40.2%
2.0	34	27.9%
4.0	18	14.8%
1.0	13	10.7%
5.0	8	6.6%

Most occurring characters

Value	Count	Frequency (%)
.	122	33.3%
0	122	33.3%
3	49	13.4%
2	34	9.3%
4	18	4.9%
1	13	3.6%
5	8	2.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	366	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	122	33.3%
0	122	33.3%
3	49	13.4%
2	34	9.3%
4	18	4.9%
1	13	3.6%
5	8	2.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	366	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	122	33.3%
0	122	33.3%
3	49	13.4%
2	34	9.3%
4	18	4.9%
1	13	3.6%
5	8	2.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	366	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	122	33.3%
0	122	33.3%
3	49	13.4%
2	34	9.3%
4	18	4.9%
1	13	3.6%
5	8	2.2%

comfort_food_reasons_coded.1
Real number (ℝ)

Distinct	8
Distinct (%)	6.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.688

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	3
95-th percentile	7
Maximum	9
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.9109869
Coefficient of variation (CV)	0.71093263
Kurtosis	3.4213848
Mean	2.688
Median Absolute Deviation (MAD)	1
Skewness	1.922052
Sum	336
Variance	3.651871
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
2	53	42.4%
1	28	22.4%
3	23	18.4%
5	7	5.6%
9	5	4.0%
7	5	4.0%
4	3	2.4%
6	1	0.8%

Value	Count	Frequency (%)
1	28	22.4%
2	53	42.4%
3	23	18.4%
4	3	2.4%
5	7	5.6%
6	1	0.8%
7	5	4.0%
9	5	4.0%

Value	Count	Frequency (%)
9	5	4.0%
7	5	4.0%
6	1	0.8%
5	7	5.6%
4	3	2.4%
3	23	18.4%
2	53	42.4%
1	28	22.4%

cuisine
Real number (ℝ)

Distinct	6
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.016

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	6
Maximum	6
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.827143
Coefficient of variation (CV)	0.90632094
Kurtosis	0.72852936
Mean	2.016
Median Absolute Deviation (MAD)	0
Skewness	1.5641079
Sum	252
Variance	3.3384516
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	86	68.8%
6	19	15.2%
2	13	10.4%
3	3	2.4%
4	3	2.4%
5	1	0.8%

Value	Count	Frequency (%)
1	86	68.8%
2	13	10.4%
3	3	2.4%
4	3	2.4%
5	1	0.8%
6	19	15.2%

Value	Count	Frequency (%)
6	19	15.2%
5	1	0.8%
4	3	2.4%
3	3	2.4%
2	13	10.4%
1	86	68.8%

diet_current_coded
Categorical

Distinct	4
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

2	60
1	50
3	10
4	5

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	3
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	60	48.0%
1	50	40.0%
3	10	8.0%
4	5	4.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	60	48.0%
1	50	40.0%
3	10	8.0%
4	5	4.0%

Most occurring characters

Value	Count	Frequency (%)
2	60	48.0%
1	50	40.0%
3	10	8.0%
4	5	4.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	60	48.0%
1	50	40.0%
3	10	8.0%
4	5	4.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	60	48.0%
1	50	40.0%
3	10	8.0%
4	5	4.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	60	48.0%
1	50	40.0%
3	10	8.0%
4	5	4.0%

drink
Categorical

Missing

Distinct	2
Distinct (%)	1.6%
Missing	2
Missing (%)	1.6%
Memory size	1.1 KiB

2.0	69
1.0	54

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	369
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	2.0
3rd row	1.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	69	55.2%
1.0	54	43.2%
(Missing)	2	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2.0	69	56.1%
1.0	54	43.9%

Most occurring characters

Value	Count	Frequency (%)
.	123	33.3%
0	123	33.3%
2	69	18.7%
1	54	14.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	369	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	123	33.3%
0	123	33.3%
2	69	18.7%
1	54	14.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	369	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	123	33.3%
0	123	33.3%
2	69	18.7%
1	54	14.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	369	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	123	33.3%
0	123	33.3%
2	69	18.7%
1	54	14.6%

eating_changes
Text

Missing

Distinct	121
Distinct (%)	99.2%
Missing	3
Missing (%)	2.4%
Memory size	1.1 KiB

Length

Max length	318
Median length	85
Mean length	58.434426
Min length	4

Characters and Unicode

Total characters	7129
Distinct characters	52
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	120 ?
Unique (%)	98.4%

Sample

1st row	eat faster
2nd row	I eat out more than usual.
3rd row	sometimes choosing to eat fast food instead of cooking simply for convenience
4th row	Accepting cheap and premade/store bought foods
5th row	I have eaten generally the same foods but I do find myself eating the same food frequently due to what I have found I like from egan and the laker.

Value	Count	Frequency (%)
i	122	8.7%
eat	58	4.1%
more	58	4.1%
to	46	3.3%
and	43	3.1%
have	33	2.4%
a	30	2.1%
food	26	1.9%
less	25	1.8%
the	24	1.7%
Other values (362)	939	66.9%

Most occurring characters

Value	Count	Frequency (%)
	1331	18.7%
e	771	10.8%
a	571	8.0%
o	490	6.9%
t	488	6.8%
n	354	5.0%
s	332	4.7%
i	282	4.0%
l	257	3.6%
r	249	3.5%
Other values (42)	2004	28.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7129	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	1331	18.7%
e	771	10.8%
a	571	8.0%
o	490	6.9%
t	488	6.8%
n	354	5.0%
s	332	4.7%
i	282	4.0%
l	257	3.6%
r	249	3.5%
Other values (42)	2004	28.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7129	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	1331	18.7%
e	771	10.8%
a	571	8.0%
o	490	6.9%
t	488	6.8%
n	354	5.0%
s	332	4.7%
i	282	4.0%
l	257	3.6%
r	249	3.5%
Other values (42)	2004	28.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7129	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	1331	18.7%
e	771	10.8%
a	571	8.0%
o	490	6.9%
t	488	6.8%
n	354	5.0%
s	332	4.7%
i	282	4.0%
l	257	3.6%
r	249	3.5%
Other values (42)	2004	28.1%

eating_changes_coded
Categorical

High correlation

Distinct	4
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1	75
2	36
3	11
4	3

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	3

Common Values

Value	Count	Frequency (%)
1	75	60.0%
2	36	28.8%
3	11	8.8%
4	3	2.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	75	60.0%
2	36	28.8%
3	11	8.8%
4	3	2.4%

Most occurring characters

Value	Count	Frequency (%)
1	75	60.0%
2	36	28.8%
3	11	8.8%
4	3	2.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	75	60.0%
2	36	28.8%
3	11	8.8%
4	3	2.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	75	60.0%
2	36	28.8%
3	11	8.8%
4	3	2.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	75	60.0%
2	36	28.8%
3	11	8.8%
4	3	2.4%

eating_changes_coded1
Real number (ℝ)

High correlation

Distinct	13
Distinct (%)	10.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.552

Minimum	1
Maximum	13
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	3
median	4
Q3	5
95-th percentile	11
Maximum	13
Range	12
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.5477884
Coefficient of variation (CV)	0.55970747
Kurtosis	1.9073443
Mean	4.552
Median Absolute Deviation (MAD)	1
Skewness	1.554581
Sum	569
Variance	6.4912258
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
3	44	35.2%
5	32	25.6%
2	15	12.0%
4	12	9.6%
8	5	4.0%
11	5	4.0%
7	3	2.4%
10	3	2.4%
12	2	1.6%
1	1	0.8%
Other values (3)	3	2.4%

Value	Count	Frequency (%)
1	1	0.8%
2	15	12.0%
3	44	35.2%
4	12	9.6%
5	32	25.6%
6	1	0.8%
7	3	2.4%
8	5	4.0%
9	1	0.8%
10	3	2.4%

Value	Count	Frequency (%)
13	1	0.8%
12	2	1.6%
11	5	4.0%
10	3	2.4%
9	1	0.8%
8	5	4.0%
7	3	2.4%
6	1	0.8%
5	32	25.6%
4	12	9.6%

eating_out
Categorical

Distinct	5
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

2	60
3	24
1	16
4	13
5	12

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	60	48.0%
3	24	19.2%
1	16	12.8%
4	13	10.4%
5	12	9.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	60	48.0%
3	24	19.2%
1	16	12.8%
4	13	10.4%
5	12	9.6%

Most occurring characters

Value	Count	Frequency (%)
2	60	48.0%
3	24	19.2%
1	16	12.8%
4	13	10.4%
5	12	9.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	60	48.0%
3	24	19.2%
1	16	12.8%
4	13	10.4%
5	12	9.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	60	48.0%
3	24	19.2%
1	16	12.8%
4	13	10.4%
5	12	9.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	60	48.0%
3	24	19.2%
1	16	12.8%
4	13	10.4%
5	12	9.6%

employment
Categorical

Missing

Distinct	3
Distinct (%)	2.6%
Missing	9
Missing (%)	7.2%
Memory size	1.1 KiB

2.0	60
3.0	54
1.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	348
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.0
2nd row	2.0
3rd row	3.0
4th row	3.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	60	48.0%
3.0	54	43.2%
1.0	2	1.6%
(Missing)	9	7.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2.0	60	51.7%
3.0	54	46.6%
1.0	2	1.7%

Most occurring characters

Value	Count	Frequency (%)
.	116	33.3%
0	116	33.3%
2	60	17.2%
3	54	15.5%
1	2	0.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	348	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	116	33.3%
0	116	33.3%
2	60	17.2%
3	54	15.5%
1	2	0.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	348	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	116	33.3%
0	116	33.3%
2	60	17.2%
3	54	15.5%
1	2	0.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	348	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	116	33.3%
0	116	33.3%
2	60	17.2%
3	54	15.5%
1	2	0.6%

ethnic_food
Categorical

Distinct	5
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

5	42
4	36
3	25
2	17
1	5

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	4
3rd row	5
4th row	5
5th row	4

Common Values

Value	Count	Frequency (%)
5	42	33.6%
4	36	28.8%
3	25	20.0%
2	17	13.6%
1	5	4.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5	42	33.6%
4	36	28.8%
3	25	20.0%
2	17	13.6%
1	5	4.0%

Most occurring characters

Value	Count	Frequency (%)
5	42	33.6%
4	36	28.8%
3	25	20.0%
2	17	13.6%
1	5	4.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
5	42	33.6%
4	36	28.8%
3	25	20.0%
2	17	13.6%
1	5	4.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
5	42	33.6%
4	36	28.8%
3	25	20.0%
2	17	13.6%
1	5	4.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
5	42	33.6%
4	36	28.8%
3	25	20.0%
2	17	13.6%
1	5	4.0%

exercise
Categorical

Distinct	4
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1.0	57
2.0	44
0.0	13
3.0	11

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	375
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	2.0
4th row	3.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	57	45.6%
2.0	44	35.2%
0.0	13	10.4%
3.0	11	8.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	57	45.6%
2.0	44	35.2%
0.0	13	10.4%
3.0	11	8.8%

Most occurring characters

Value	Count	Frequency (%)
0	138	36.8%
.	125	33.3%
1	57	15.2%
2	44	11.7%
3	11	2.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	375	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	138	36.8%
.	125	33.3%
1	57	15.2%
2	44	11.7%
3	11	2.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	375	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	138	36.8%
.	125	33.3%
1	57	15.2%
2	44	11.7%
3	11	2.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	375	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	138	36.8%
.	125	33.3%
1	57	15.2%
2	44	11.7%
3	11	2.9%

father_education
Categorical

Distinct	5
Distinct (%)	4.0%
Missing	1
Missing (%)	0.8%
Memory size	1.1 KiB

4.0	46
2.0	34
5.0	28
3.0	12
1.0	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	372
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5.0
2nd row	2.0
3rd row	2.0
4th row	2.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
4.0	46	36.8%
2.0	34	27.2%
5.0	28	22.4%
3.0	12	9.6%
1.0	4	3.2%
(Missing)	1	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
4.0	46	37.1%
2.0	34	27.4%
5.0	28	22.6%
3.0	12	9.7%
1.0	4	3.2%

Most occurring characters

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
4	46	12.4%
2	34	9.1%
5	28	7.5%
3	12	3.2%
1	4	1.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
4	46	12.4%
2	34	9.1%
5	28	7.5%
3	12	3.2%
1	4	1.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
4	46	12.4%
2	34	9.1%
5	28	7.5%
3	12	3.2%
1	4	1.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
4	46	12.4%
2	34	9.1%
5	28	7.5%
3	12	3.2%
1	4	1.1%

father_profession
Text

Missing

Distinct	114
Distinct (%)	93.4%
Missing	3
Missing (%)	2.4%
Memory size	1.1 KiB

Length

Max length	33
Median length	23.5
Mean length	14.213115
Min length	2

Characters and Unicode

Total characters	1734
Distinct characters	49
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	106 ?
Unique (%)	86.9%

Sample

1st row	profesor
2nd row	Self employed
3rd row	owns business
4th row	Mechanic
5th row	IT

Value	Count	Frequency (%)
business	11	4.6%
manager	8	3.3%
of	7	2.9%
owner	7	2.9%
engineer	7	2.9%
driver	5	2.1%
company	4	1.7%
construction	4	1.7%
salesman	4	1.7%
retired	3	1.2%
Other values (144)	180	75.0%

Most occurring characters

Value	Count	Frequency (%)
e	180	10.4%
	162	9.3%
r	132	7.6%
n	132	7.6%
i	127	7.3%
a	123	7.1%
o	107	6.2%
s	100	5.8%
t	82	4.7%
c	79	4.6%
Other values (39)	510	29.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1734	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	180	10.4%
	162	9.3%
r	132	7.6%
n	132	7.6%
i	127	7.3%
a	123	7.1%
o	107	6.2%
s	100	5.8%
t	82	4.7%
c	79	4.6%
Other values (39)	510	29.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1734	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	180	10.4%
	162	9.3%
r	132	7.6%
n	132	7.6%
i	127	7.3%
a	123	7.1%
o	107	6.2%
s	100	5.8%
t	82	4.7%
c	79	4.6%
Other values (39)	510	29.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1734	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	180	10.4%
	162	9.3%
r	132	7.6%
n	132	7.6%
i	127	7.3%
a	123	7.1%
o	107	6.2%
s	100	5.8%
t	82	4.7%
c	79	4.6%
Other values (39)	510	29.4%

fav_cuisine
Text

Missing

Distinct	60
Distinct (%)	48.8%
Missing	2
Missing (%)	1.6%
Memory size	1.1 KiB

Length

Max length	40
Median length	38
Mean length	9.9918699
Min length	4

Characters and Unicode

Total characters	1229
Distinct characters	51
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	46 ?
Unique (%)	37.4%

Sample

1st row	Arabic cuisine
2nd row	Italian
3rd row	italian
4th row	Turkish
5th row	Italian

Value	Count	Frequency (%)
italian	56	30.8%
mexican	12	6.6%
chinese	11	6.0%
food	10	5.5%
american	10	5.5%
cuisine	7	3.8%
and	5	2.7%
thai	4	2.2%
indian	4	2.2%
or	4	2.2%
Other values (52)	59	32.4%

Most occurring characters

Value	Count	Frequency (%)
a	186	15.1%
i	142	11.6%
n	140	11.4%
	105	8.5%
e	93	7.6%
l	69	5.6%
t	67	5.5%
I	56	4.6%
c	43	3.5%
o	41	3.3%
Other values (41)	287	23.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1229	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	186	15.1%
i	142	11.6%
n	140	11.4%
	105	8.5%
e	93	7.6%
l	69	5.6%
t	67	5.5%
I	56	4.6%
c	43	3.5%
o	41	3.3%
Other values (41)	287	23.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1229	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	186	15.1%
i	142	11.6%
n	140	11.4%
	105	8.5%
e	93	7.6%
l	69	5.6%
t	67	5.5%
I	56	4.6%
c	43	3.5%
o	41	3.3%
Other values (41)	287	23.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1229	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	186	15.1%
i	142	11.6%
n	140	11.4%
	105	8.5%
e	93	7.6%
l	69	5.6%
t	67	5.5%
I	56	4.6%
c	43	3.5%
o	41	3.3%
Other values (41)	287	23.4%

fav_cuisine_coded
Real number (ℝ)

Zeros

Distinct	9
Distinct (%)	7.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.424

Minimum	0
Maximum	8
Zeros	6
Zeros (%)	4.8%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	4
95-th percentile	5
Maximum	8
Range	8
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.9479683
Coefficient of variation (CV)	0.8036173
Kurtosis	0.28586948
Mean	2.424
Median Absolute Deviation (MAD)	1
Skewness	1.0211239
Sum	303
Variance	3.7945806
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1	59	47.2%
4	22	17.6%
5	15	12.0%
2	15	12.0%
0	6	4.8%
8	4	3.2%
3	2	1.6%
6	1	0.8%
7	1	0.8%

Value	Count	Frequency (%)
0	6	4.8%
1	59	47.2%
2	15	12.0%
3	2	1.6%
4	22	17.6%
5	15	12.0%
6	1	0.8%
7	1	0.8%
8	4	3.2%

Value	Count	Frequency (%)
8	4	3.2%
7	1	0.8%
6	1	0.8%
5	15	12.0%
4	22	17.6%
3	2	1.6%
2	15	12.0%
1	59	47.2%
0	6	4.8%

fav_food
Categorical

Missing

Distinct	3
Distinct (%)	2.4%
Missing	2
Missing (%)	1.6%
Memory size	1.1 KiB

1.0	73
3.0	38
2.0	12

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	369
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	3.0
4th row	1.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
1.0	73	58.4%
3.0	38	30.4%
2.0	12	9.6%
(Missing)	2	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	73	59.3%
3.0	38	30.9%
2.0	12	9.8%

Most occurring characters

Value	Count	Frequency (%)
.	123	33.3%
0	123	33.3%
1	73	19.8%
3	38	10.3%
2	12	3.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	369	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	123	33.3%
0	123	33.3%
1	73	19.8%
3	38	10.3%
2	12	3.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	369	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	123	33.3%
0	123	33.3%
1	73	19.8%
3	38	10.3%
2	12	3.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	369	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	123	33.3%
0	123	33.3%
1	73	19.8%
3	38	10.3%
2	12	3.3%

fries
Categorical

Imbalance

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1	114
2	11

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	1
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
1	114	91.2%
2	11	8.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	114	91.2%
2	11	8.8%

Most occurring characters

Value	Count	Frequency (%)
1	114	91.2%
2	11	8.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	114	91.2%
2	11	8.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	114	91.2%
2	11	8.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	114	91.2%
2	11	8.8%

fruit_day
Categorical

Distinct	5
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

5	63
4	33
3	24
2	4
1	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.8%

Sample

1st row	5
2nd row	4
3rd row	5
4th row	4
5th row	4

Common Values

Value	Count	Frequency (%)
5	63	50.4%
4	33	26.4%
3	24	19.2%
2	4	3.2%
1	1	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5	63	50.4%
4	33	26.4%
3	24	19.2%
2	4	3.2%
1	1	0.8%

Most occurring characters

Value	Count	Frequency (%)
5	63	50.4%
4	33	26.4%
3	24	19.2%
2	4	3.2%
1	1	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
5	63	50.4%
4	33	26.4%
3	24	19.2%
2	4	3.2%
1	1	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
5	63	50.4%
4	33	26.4%
3	24	19.2%
2	4	3.2%
1	1	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
5	63	50.4%
4	33	26.4%
3	24	19.2%
2	4	3.2%
1	1	0.8%

grade_level
Categorical

Distinct	4
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1	37
2	32
4	28
3	28

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	4
3rd row	3
4th row	4
5th row	4

Common Values

Value	Count	Frequency (%)
1	37	29.6%
2	32	25.6%
4	28	22.4%
3	28	22.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	37	29.6%
2	32	25.6%
4	28	22.4%
3	28	22.4%

Most occurring characters

Value	Count	Frequency (%)
1	37	29.6%
2	32	25.6%
4	28	22.4%
3	28	22.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	37	29.6%
2	32	25.6%
4	28	22.4%
3	28	22.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	37	29.6%
2	32	25.6%
4	28	22.4%
3	28	22.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	37	29.6%
2	32	25.6%
4	28	22.4%
3	28	22.4%

greek_food
Categorical

Distinct	5
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

5	41
3	32
4	23
1	15
2	14

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5
2nd row	4
3rd row	5
4th row	5
5th row	4

Common Values

Value	Count	Frequency (%)
5	41	32.8%
3	32	25.6%
4	23	18.4%
1	15	12.0%
2	14	11.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5	41	32.8%
3	32	25.6%
4	23	18.4%
1	15	12.0%
2	14	11.2%

Most occurring characters

Value	Count	Frequency (%)
5	41	32.8%
3	32	25.6%
4	23	18.4%
1	15	12.0%
2	14	11.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
5	41	32.8%
3	32	25.6%
4	23	18.4%
1	15	12.0%
2	14	11.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
5	41	32.8%
3	32	25.6%
4	23	18.4%
1	15	12.0%
2	14	11.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
5	41	32.8%
3	32	25.6%
4	23	18.4%
1	15	12.0%
2	14	11.2%

healthy_feeling
Real number (ℝ)

High correlation

Distinct	10
Distinct (%)	8.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.456

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	5
Q3	8
95-th percentile	9
Maximum	10
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.5856427
Coefficient of variation (CV)	0.47390813
Kurtosis	-1.1235065
Mean	5.456
Median Absolute Deviation (MAD)	2
Skewness	-0.058284658
Sum	682
Variance	6.6855484
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
8	17	13.6%
7	16	12.8%
5	15	12.0%
3	15	12.0%
4	13	10.4%
2	12	9.6%
6	12	9.6%
9	12	9.6%
1	8	6.4%
10	5	4.0%

Value	Count	Frequency (%)
1	8	6.4%
2	12	9.6%
3	15	12.0%
4	13	10.4%
5	15	12.0%
6	12	9.6%
7	16	12.8%
8	17	13.6%
9	12	9.6%
10	5	4.0%

Value	Count	Frequency (%)
10	5	4.0%
9	12	9.6%
8	17	13.6%
7	16	12.8%
6	12	9.6%
5	15	12.0%
4	13	10.4%
3	15	12.0%
2	12	9.6%
1	8	6.4%

ideal_diet_coded
Real number (ℝ)

Distinct	8
Distinct (%)	6.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.704

Minimum	1
Maximum	8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	6
95-th percentile	7
Maximum	8
Range	7
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.0869178
Coefficient of variation (CV)	0.56342273
Kurtosis	-1.1654073
Mean	3.704
Median Absolute Deviation (MAD)	1
Skewness	0.50478161
Sum	463
Variance	4.3552258
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
2	44	35.2%
3	17	13.6%
7	16	12.8%
5	15	12.0%
6	13	10.4%
1	11	8.8%
4	6	4.8%
8	3	2.4%

Value	Count	Frequency (%)
1	11	8.8%
2	44	35.2%
3	17	13.6%
4	6	4.8%
5	15	12.0%
6	13	10.4%
7	16	12.8%
8	3	2.4%

Value	Count	Frequency (%)
8	3	2.4%
7	16	12.8%
6	13	10.4%
5	15	12.0%
4	6	4.8%
3	17	13.6%
2	44	35.2%
1	11	8.8%

income
Real number (ℝ)

Distinct	6
Distinct (%)	4.8%
Missing	1
Missing (%)	0.8%
Infinite	0
Infinite (%)	0.0%
Mean	4.5322581

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	4
median	5
Q3	6
95-th percentile	6
Maximum	6
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.4563318
Coefficient of variation (CV)	0.32132587
Kurtosis	-0.21082518
Mean	4.5322581
Median Absolute Deviation (MAD)	1
Skewness	-0.82734211
Sum	562
Variance	2.1209022
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
6	41	32.8%
5	33	26.4%
4	20	16.0%
3	17	13.6%
2	7	5.6%
1	6	4.8%
(Missing)	1	0.8%

Value	Count	Frequency (%)
1	6	4.8%
2	7	5.6%
3	17	13.6%
4	20	16.0%
5	33	26.4%
6	41	32.8%

Value	Count	Frequency (%)
6	41	32.8%
5	33	26.4%
4	20	16.0%
3	17	13.6%
2	7	5.6%
1	6	4.8%

indian_food
Categorical

High correlation

Distinct	5
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

5	36
3	31
1	25
2	18
4	15

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5
2nd row	4
3rd row	5
4th row	5
5th row	2

Common Values

Value	Count	Frequency (%)
5	36	28.8%
3	31	24.8%
1	25	20.0%
2	18	14.4%
4	15	12.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5	36	28.8%
3	31	24.8%
1	25	20.0%
2	18	14.4%
4	15	12.0%

Most occurring characters

Value	Count	Frequency (%)
5	36	28.8%
3	31	24.8%
1	25	20.0%
2	18	14.4%
4	15	12.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
5	36	28.8%
3	31	24.8%
1	25	20.0%
2	18	14.4%
4	15	12.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
5	36	28.8%
3	31	24.8%
1	25	20.0%
2	18	14.4%
4	15	12.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
5	36	28.8%
3	31	24.8%
1	25	20.0%
2	18	14.4%
4	15	12.0%

italian_food
Categorical

Distinct	3
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

5	100
4	16
3	9

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5
2nd row	4
3rd row	5
4th row	5
5th row	5

Common Values

Value	Count	Frequency (%)
5	100	80.0%
4	16	12.8%
3	9	7.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5	100	80.0%
4	16	12.8%
3	9	7.2%

Most occurring characters

Value	Count	Frequency (%)
5	100	80.0%
4	16	12.8%
3	9	7.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
5	100	80.0%
4	16	12.8%
3	9	7.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
5	100	80.0%
4	16	12.8%
3	9	7.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
5	100	80.0%
4	16	12.8%
3	9	7.2%

life_rewarding
Real number (ℝ)

High correlation

Distinct	10
Distinct (%)	8.1%
Missing	1
Missing (%)	0.8%
Infinite	0
Infinite (%)	0.0%
Mean	5.1048387

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	5
Q3	8
95-th percentile	10
Maximum	10
Range	9
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.1203985
Coefficient of variation (CV)	0.6112629
Kurtosis	-1.4751391
Mean	5.1048387
Median Absolute Deviation (MAD)	3
Skewness	0.062603108
Sum	633
Variance	9.736887
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	23	18.4%
8	18	14.4%
3	15	12.0%
7	14	11.2%
2	13	10.4%
9	11	8.8%
10	10	8.0%
5	10	8.0%
4	6	4.8%
6	4	3.2%
(Missing)	1	0.8%

Value	Count	Frequency (%)
1	23	18.4%
2	13	10.4%
3	15	12.0%
4	6	4.8%
5	10	8.0%
6	4	3.2%
7	14	11.2%
8	18	14.4%
9	11	8.8%
10	10	8.0%

Value	Count	Frequency (%)
10	10	8.0%
9	11	8.8%
8	18	14.4%
7	14	11.2%
6	4	3.2%
5	10	8.0%
4	6	4.8%
3	15	12.0%
2	13	10.4%
1	23	18.4%

marital_status
Categorical

Distinct	3
Distinct (%)	2.4%
Missing	1
Missing (%)	0.8%
Memory size	1.1 KiB

1.0	64
2.0	59
4.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	372
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.8%

Sample

1st row	1.0
2nd row	2.0
3rd row	2.0
4th row	2.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	64	51.2%
2.0	59	47.2%
4.0	1	0.8%
(Missing)	1	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	64	51.6%
2.0	59	47.6%
4.0	1	0.8%

Most occurring characters

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	64	17.2%
2	59	15.9%
4	1	0.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	64	17.2%
2	59	15.9%
4	1	0.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	64	17.2%
2	59	15.9%
4	1	0.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	64	17.2%
2	59	15.9%
4	1	0.3%

mother_education
Categorical

Missing

Distinct	5
Distinct (%)	4.1%
Missing	3
Missing (%)	2.4%
Memory size	1.1 KiB

4.0	46
2.0	30
5.0	23
3.0	18
1.0	5

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	366
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	4.0
3rd row	2.0
4th row	4.0
5th row	5.0

Common Values

Value	Count	Frequency (%)
4.0	46	36.8%
2.0	30	24.0%
5.0	23	18.4%
3.0	18	14.4%
1.0	5	4.0%
(Missing)	3	2.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
4.0	46	37.7%
2.0	30	24.6%
5.0	23	18.9%
3.0	18	14.8%
1.0	5	4.1%

Most occurring characters

Value	Count	Frequency (%)
.	122	33.3%
0	122	33.3%
4	46	12.6%
2	30	8.2%
5	23	6.3%
3	18	4.9%
1	5	1.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	366	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	122	33.3%
0	122	33.3%
4	46	12.6%
2	30	8.2%
5	23	6.3%
3	18	4.9%
1	5	1.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	366	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	122	33.3%
0	122	33.3%
4	46	12.6%
2	30	8.2%
5	23	6.3%
3	18	4.9%
1	5	1.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	366	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	122	33.3%
0	122	33.3%
4	46	12.6%
2	30	8.2%
5	23	6.3%
3	18	4.9%
1	5	1.4%

mother_profession
Text

Missing

Distinct	112
Distinct (%)	91.1%
Missing	2
Missing (%)	1.6%
Memory size	1.1 KiB

Length

Max length	48
Median length	31
Mean length	14.813008
Min length	2

Characters and Unicode

Total characters	1822
Distinct characters	48
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	103 ?
Unique (%)	83.7%

Sample

1st row	unemployed
2nd row	Nurse RN
3rd row	owns business
4th row	Special Education Teacher
5th row	Substance Abuse Conselor

Value	Count	Frequency (%)
teacher	14	5.6%
secretary	7	2.8%
business	6	2.4%
nurse	5	2.0%
school	5	2.0%
unemployed	4	1.6%
home	4	1.6%
accountant	4	1.6%
in	4	1.6%
coordinator	3	1.2%
Other values (151)	192	77.4%

Most occurring characters

Value	Count	Frequency (%)
e	209	11.5%
	156	8.6%
r	154	8.5%
a	150	8.2%
t	115	6.3%
o	106	5.8%
i	106	5.8%
n	94	5.2%
s	93	5.1%
c	86	4.7%
Other values (38)	553	30.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1822	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	209	11.5%
	156	8.6%
r	154	8.5%
a	150	8.2%
t	115	6.3%
o	106	5.8%
i	106	5.8%
n	94	5.2%
s	93	5.1%
c	86	4.7%
Other values (38)	553	30.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1822	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	209	11.5%
	156	8.6%
r	154	8.5%
a	150	8.2%
t	115	6.3%
o	106	5.8%
i	106	5.8%
n	94	5.2%
s	93	5.1%
c	86	4.7%
Other values (38)	553	30.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1822	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	209	11.5%
	156	8.6%
r	154	8.5%
a	150	8.2%
t	115	6.3%
o	106	5.8%
i	106	5.8%
n	94	5.2%
s	93	5.1%
c	86	4.7%
Other values (38)	553	30.4%

nutritional_check
Categorical

Distinct	5
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

4	43
2	36
3	20
5	16
1	10

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5
2nd row	4
3rd row	4
4th row	2
5th row	3

Common Values

Value	Count	Frequency (%)
4	43	34.4%
2	36	28.8%
3	20	16.0%
5	16	12.8%
1	10	8.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
4	43	34.4%
2	36	28.8%
3	20	16.0%
5	16	12.8%
1	10	8.0%

Most occurring characters

Value	Count	Frequency (%)
4	43	34.4%
2	36	28.8%
3	20	16.0%
5	16	12.8%
1	10	8.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
4	43	34.4%
2	36	28.8%
3	20	16.0%
5	16	12.8%
1	10	8.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
4	43	34.4%
2	36	28.8%
3	20	16.0%
5	16	12.8%
1	10	8.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
4	43	34.4%
2	36	28.8%
3	20	16.0%
5	16	12.8%
1	10	8.0%

on_off_campus
Categorical

Distinct	4
Distinct (%)	3.2%
Missing	1
Missing (%)	0.8%
Memory size	1.1 KiB

1.0	97
2.0	16
3.0	9
4.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	372
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	2.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	97	77.6%
2.0	16	12.8%
3.0	9	7.2%
4.0	2	1.6%
(Missing)	1	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	97	78.2%
2.0	16	12.9%
3.0	9	7.3%
4.0	2	1.6%

Most occurring characters

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	97	26.1%
2	16	4.3%
3	9	2.4%
4	2	0.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	97	26.1%
2	16	4.3%
3	9	2.4%
4	2	0.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	97	26.1%
2	16	4.3%
3	9	2.4%
4	2	0.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	97	26.1%
2	16	4.3%
3	9	2.4%
4	2	0.5%

parents_cook
Categorical

Distinct	4
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1	75
2	36
3	13
5	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.8%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	75	60.0%
2	36	28.8%
3	13	10.4%
5	1	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	75	60.0%
2	36	28.8%
3	13	10.4%
5	1	0.8%

Most occurring characters

Value	Count	Frequency (%)
1	75	60.0%
2	36	28.8%
3	13	10.4%
5	1	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	75	60.0%
2	36	28.8%
3	13	10.4%
5	1	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	75	60.0%
2	36	28.8%
3	13	10.4%
5	1	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	75	60.0%
2	36	28.8%
3	13	10.4%
5	1	0.8%

pay_meal_out
Categorical

Distinct	5
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

3	67
4	22
2	17
5	11
6	8

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	4
3rd row	3
4th row	2
5th row	4

Common Values

Value	Count	Frequency (%)
3	67	53.6%
4	22	17.6%
2	17	13.6%
5	11	8.8%
6	8	6.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	67	53.6%
4	22	17.6%
2	17	13.6%
5	11	8.8%
6	8	6.4%

Most occurring characters

Value	Count	Frequency (%)
3	67	53.6%
4	22	17.6%
2	17	13.6%
5	11	8.8%
6	8	6.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	67	53.6%
4	22	17.6%
2	17	13.6%
5	11	8.8%
6	8	6.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	67	53.6%
4	22	17.6%
2	17	13.6%
5	11	8.8%
6	8	6.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	67	53.6%
4	22	17.6%
2	17	13.6%
5	11	8.8%
6	8	6.4%

persian_food
Categorical

High correlation

Distinct	5
Distinct (%)	4.0%
Missing	1
Missing (%)	0.8%
Memory size	1.1 KiB

1.0	30
3.0	29
2.0	26
5.0	23
4.0	16

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	372
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5.0
2nd row	4.0
3rd row	5.0
4th row	5.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
1.0	30	24.0%
3.0	29	23.2%
2.0	26	20.8%
5.0	23	18.4%
4.0	16	12.8%
(Missing)	1	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	30	24.2%
3.0	29	23.4%
2.0	26	21.0%
5.0	23	18.5%
4.0	16	12.9%

Most occurring characters

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	30	8.1%
3	29	7.8%
2	26	7.0%
5	23	6.2%
4	16	4.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	30	8.1%
3	29	7.8%
2	26	7.0%
5	23	6.2%
4	16	4.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	30	8.1%
3	29	7.8%
2	26	7.0%
5	23	6.2%
4	16	4.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	30	8.1%
3	29	7.8%
2	26	7.0%
5	23	6.2%
4	16	4.3%

self_perception_weight
Real number (ℝ)

Distinct	6
Distinct (%)	4.8%
Missing	1
Missing (%)	0.8%
Infinite	0
Infinite (%)	0.0%
Mean	3.1209677

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	5
Maximum	6
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.1159796
Coefficient of variation (CV)	0.35757485
Kurtosis	0.2673123
Mean	3.1209677
Median Absolute Deviation (MAD)	1
Skewness	0.47081775
Sum	387
Variance	1.2454104
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	45	36.0%
4	31	24.8%
2	31	24.8%
5	6	4.8%
1	6	4.8%
6	5	4.0%
(Missing)	1	0.8%

Value	Count	Frequency (%)
1	6	4.8%
2	31	24.8%
3	45	36.0%
4	31	24.8%
5	6	4.8%
6	5	4.0%

Value	Count	Frequency (%)
6	5	4.0%
5	6	4.8%
4	31	24.8%
3	45	36.0%
2	31	24.8%
1	6	4.8%

soup
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	1
Missing (%)	0.8%
Memory size	1.1 KiB

1.0	97
2.0	27

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	372
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	97	77.6%
2.0	27	21.6%
(Missing)	1	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	97	78.2%
2.0	27	21.8%

Most occurring characters

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	97	26.1%
2	27	7.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	97	26.1%
2	27	7.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	97	26.1%
2	27	7.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	372	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	124	33.3%
0	124	33.3%
1	97	26.1%
2	27	7.3%

sports
Categorical

Missing

Distinct	2
Distinct (%)	1.6%
Missing	2
Missing (%)	1.6%
Memory size	1.1 KiB

1.0	75
2.0	48

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	369
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	2.0
4th row	2.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	75	60.0%
2.0	48	38.4%
(Missing)	2	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	75	61.0%
2.0	48	39.0%

Most occurring characters

Value	Count	Frequency (%)
.	123	33.3%
0	123	33.3%
1	75	20.3%
2	48	13.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	369	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	123	33.3%
0	123	33.3%
1	75	20.3%
2	48	13.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	369	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	123	33.3%
0	123	33.3%
1	75	20.3%
2	48	13.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	369	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	123	33.3%
0	123	33.3%
1	75	20.3%
2	48	13.0%

thai_food
Categorical

High correlation

Distinct	5
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

5	37
3	26
4	25
1	20
2	17

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	5
4th row	5
5th row	4

Common Values

Value	Count	Frequency (%)
5	37	29.6%
3	26	20.8%
4	25	20.0%
1	20	16.0%
2	17	13.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5	37	29.6%
3	26	20.8%
4	25	20.0%
1	20	16.0%
2	17	13.6%

Most occurring characters

Value	Count	Frequency (%)
5	37	29.6%
3	26	20.8%
4	25	20.0%
1	20	16.0%
2	17	13.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
5	37	29.6%
3	26	20.8%
4	25	20.0%
1	20	16.0%
2	17	13.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
5	37	29.6%
3	26	20.8%
4	25	20.0%
1	20	16.0%
2	17	13.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
5	37	29.6%
3	26	20.8%
4	25	20.0%
1	20	16.0%
2	17	13.6%

tortilla_calories
Categorical

Distinct	4
Distinct (%)	3.2%
Missing	1
Missing (%)	0.8%
Memory size	1.1 KiB

1165.0	46
940.0	43
725.0	22
580.0	13

Length

Max length	6
Median length	5
Mean length	5.3709677
Min length	5

Characters and Unicode

Total characters	666
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1165.0
2nd row	725.0
3rd row	1165.0
4th row	725.0
5th row	940.0

Common Values

Value	Count	Frequency (%)
1165.0	46	36.8%
940.0	43	34.4%
725.0	22	17.6%
580.0	13	10.4%
(Missing)	1	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1165.0	46	37.1%
940.0	43	34.7%
725.0	22	17.7%
580.0	13	10.5%

Most occurring characters

Value	Count	Frequency (%)
0	180	27.0%
.	124	18.6%
1	92	13.8%
5	81	12.2%
6	46	6.9%
9	43	6.5%
4	43	6.5%
7	22	3.3%
2	22	3.3%
8	13	2.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	666	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	180	27.0%
.	124	18.6%
1	92	13.8%
5	81	12.2%
6	46	6.9%
9	43	6.5%
4	43	6.5%
7	22	3.3%
2	22	3.3%
8	13	2.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	666	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	180	27.0%
.	124	18.6%
1	92	13.8%
5	81	12.2%
6	46	6.9%
9	43	6.5%
4	43	6.5%
7	22	3.3%
2	22	3.3%
8	13	2.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	666	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	180	27.0%
.	124	18.6%
1	92	13.8%
5	81	12.2%
6	46	6.9%
9	43	6.5%
4	43	6.5%
7	22	3.3%
2	22	3.3%
8	13	2.0%

turkey_calories
Categorical

Distinct	4
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

500	50
690	39
345	26
850	10

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	375
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	345
2nd row	690
3rd row	500
4th row	690
5th row	500

Common Values

Value	Count	Frequency (%)
500	50	40.0%
690	39	31.2%
345	26	20.8%
850	10	8.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
500	50	40.0%
690	39	31.2%
345	26	20.8%
850	10	8.0%

Most occurring characters

Value	Count	Frequency (%)
0	149	39.7%
5	86	22.9%
6	39	10.4%
9	39	10.4%
3	26	6.9%
4	26	6.9%
8	10	2.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	375	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	149	39.7%
5	86	22.9%
6	39	10.4%
9	39	10.4%
3	26	6.9%
4	26	6.9%
8	10	2.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	375	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	149	39.7%
5	86	22.9%
6	39	10.4%
9	39	10.4%
3	26	6.9%
4	26	6.9%
8	10	2.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	375	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	149	39.7%
5	86	22.9%
6	39	10.4%
9	39	10.4%
3	26	6.9%
4	26	6.9%
8	10	2.7%

type_sports
Text

Distinct	67
Distinct (%)	53.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

Length

Max length	59
Median length	38
Mean length	10.344
Min length	4

Characters and Unicode

Total characters	1293
Distinct characters	47
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	51 ?
Unique (%)	40.8%

Sample

1st row	car racing
2nd row	Basketball
3rd row	none
4th row	Unknow
5th row	Softball

Value	Count	Frequency (%)
unknow	26	13.4%
hockey	15	7.7%
none	14	7.2%
soccer	11	5.7%
softball	10	5.2%
basketball	10	5.2%
volleyball	9	4.6%
and	5	2.6%
tennis	5	2.6%
lacrosse	5	2.6%
Other values (59)	84	43.3%

Most occurring characters

Value	Count	Frequency (%)
n	139	10.8%
o	123	9.5%
l	109	8.4%
e	104	8.0%
	89	6.9%
a	85	6.6%
c	62	4.8%
k	56	4.3%
s	52	4.0%
t	49	3.8%
Other values (37)	425	32.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1293	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	139	10.8%
o	123	9.5%
l	109	8.4%
e	104	8.0%
	89	6.9%
a	85	6.6%
c	62	4.8%
k	56	4.3%
s	52	4.0%
t	49	3.8%
Other values (37)	425	32.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1293	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	139	10.8%
o	123	9.5%
l	109	8.4%
e	104	8.0%
	89	6.9%
a	85	6.6%
c	62	4.8%
k	56	4.3%
s	52	4.0%
t	49	3.8%
Other values (37)	425	32.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1293	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	139	10.8%
o	123	9.5%
l	109	8.4%
e	104	8.0%
	89	6.9%
a	85	6.6%
c	62	4.8%
k	56	4.3%
s	52	4.0%
t	49	3.8%
Other values (37)	425	32.9%

veggies_day
Categorical

Distinct	5
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

5	53
4	37
3	21
2	11
1	3

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5
2nd row	4
3rd row	5
4th row	3
5th row	4

Common Values

Value	Count	Frequency (%)
5	53	42.4%
4	37	29.6%
3	21	16.8%
2	11	8.8%
1	3	2.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5	53	42.4%
4	37	29.6%
3	21	16.8%
2	11	8.8%
1	3	2.4%

Most occurring characters

Value	Count	Frequency (%)
5	53	42.4%
4	37	29.6%
3	21	16.8%
2	11	8.8%
1	3	2.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
5	53	42.4%
4	37	29.6%
3	21	16.8%
2	11	8.8%
1	3	2.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
5	53	42.4%
4	37	29.6%
3	21	16.8%
2	11	8.8%
1	3	2.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
5	53	42.4%
4	37	29.6%
3	21	16.8%
2	11	8.8%
1	3	2.4%

vitamins
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

2	64
1	61

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	1
4th row	1
5th row	2

Common Values

Value	Count	Frequency (%)
2	64	51.2%
1	61	48.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	64	51.2%
1	61	48.8%

Most occurring characters

Value	Count	Frequency (%)
2	64	51.2%
1	61	48.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	64	51.2%
1	61	48.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	64	51.2%
1	61	48.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	64	51.2%
1	61	48.8%

waffle_calories
Categorical

Distinct	4
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1315	62
900	38
760	22
575	3

Length

Max length	4
Median length	3
Mean length	3.496
Min length	3

Characters and Unicode

Total characters	437
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1315
2nd row	900
3rd row	900
4th row	1315
5th row	760

Common Values

Value	Count	Frequency (%)
1315	62	49.6%
900	38	30.4%
760	22	17.6%
575	3	2.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1315	62	49.6%
900	38	30.4%
760	22	17.6%
575	3	2.4%

Most occurring characters

Value	Count	Frequency (%)
1	124	28.4%
0	98	22.4%
5	68	15.6%
3	62	14.2%
9	38	8.7%
7	25	5.7%
6	22	5.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	437	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	124	28.4%
0	98	22.4%
5	68	15.6%
3	62	14.2%
9	38	8.7%
7	25	5.7%
6	22	5.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	437	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	124	28.4%
0	98	22.4%
5	68	15.6%
3	62	14.2%
9	38	8.7%
7	25	5.7%
6	22	5.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	437	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	124	28.4%
0	98	22.4%
5	68	15.6%
3	62	14.2%
9	38	8.7%
7	25	5.7%
6	22	5.0%

weight
Real number (ℝ)

High correlation

Distinct	46
Distinct (%)	36.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	159.17355

Minimum	100
Maximum	265
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	100
5-th percentile	115.2
Q1	135
median	156
Q3	180
95-th percentile	209
Maximum	265
Range	165
Interquartile range (IQR)	45

Descriptive statistics

Standard deviation	31.953766
Coefficient of variation (CV)	0.20074796
Kurtosis	1.2886785
Mean	159.17355
Median Absolute Deviation (MAD)	21
Skewness	0.8613772
Sum	19896.694
Variance	1021.0432
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=46)

Value	Count	Frequency (%)
140	8	6.4%
135	8	6.4%
150	7	5.6%
170	7	5.6%
185	6	4.8%
175	6	4.8%
155	6	4.8%
180	6	4.8%
125	5	4.0%
190	5	4.0%
Other values (36)	61	48.8%

Value	Count	Frequency (%)
100	1	0.8%
105	1	0.8%
110	1	0.8%
112	1	0.8%
113	2	1.6%
115	1	0.8%
116	1	0.8%
118	1	0.8%
120	3	2.4%
123	1	0.8%

Value	Count	Frequency (%)
265	1	0.8%
264	1	0.8%
260	1	0.8%
240	1	0.8%
230	1	0.8%
210	2	1.6%
205	1	0.8%
200	4	3.2%
195	1	0.8%
192	1	0.8%

Interactions

Correlations

	GPA	Gender	breakfast	calories_day	calories_scone	coffee	comfort_food_reasons_coded.1	cook	cuisine	diet_current_coded	drink	eating_changes_coded	eating_changes_coded1	eating_out	employment	ethnic_food	exercise	father_education	fav_cuisine_coded	fav_food	fries	fruit_day	grade_level	greek_food	healthy_feeling	ideal_diet_coded	income	indian_food	italian_food	life_rewarding	marital_status	mother_education	nutritional_check	on_off_campus	parents_cook	pay_meal_out	persian_food	self_perception_weight	soup	sports	thai_food	tortilla_calories	turkey_calories	veggies_day	vitamins	waffle_calories	weight
GPA	1.000	0.000	0.000	0.000	0.165	0.000	-0.069	0.000	-0.067	0.115	0.162	0.126	0.081	0.084	0.000	0.220	0.069	0.213	-0.028	0.000	0.191	0.307	0.071	0.102	-0.077	-0.151	0.083	0.066	0.170	-0.005	0.364	0.238	0.207	0.138	0.000	0.077	0.000	0.020	0.000	0.000	0.153	0.151	0.108	0.173	0.000	0.000	-0.051
Gender	0.000	1.000	0.054	0.000	0.118	0.000	0.151	0.329	0.000	0.064	0.164	0.077	0.000	0.065	0.125	0.140	0.154	0.000	0.156	0.078	0.000	0.064	0.000	0.160	0.211	0.290	0.000	0.000	0.000	0.000	0.191	0.205	0.120	0.069	0.068	0.115	0.000	0.240	0.000	0.155	0.147	0.163	0.282	0.100	0.000	0.000	0.502
breakfast	0.000	0.054	1.000	0.000	0.000	0.000	0.176	0.100	0.000	0.186	0.166	0.123	0.106	0.000	0.000	0.322	0.000	0.190	0.241	0.190	0.000	0.299	0.128	0.258	0.000	0.000	0.161	0.190	0.000	0.110	0.219	0.000	0.081	0.109	0.000	0.000	0.000	0.000	0.122	0.000	0.000	0.000	0.033	0.295	0.000	0.000	0.000
calories_day	0.000	0.000	0.000	1.000	0.126	0.028	0.147	0.055	0.000	0.100	0.000	0.000	0.164	0.067	0.000	0.159	0.200	0.019	0.000	0.078	0.000	0.164	0.000	0.099	0.153	0.237	0.000	0.097	0.000	0.000	0.000	0.000	0.269	0.000	0.000	0.000	0.000	0.151	0.000	0.079	0.135	0.117	0.168	0.107	0.309	0.130	0.000
calories_scone	0.165	0.118	0.000	0.126	1.000	0.056	0.227	0.119	0.174	0.075	0.040	0.000	0.000	0.154	0.105	0.090	0.000	0.277	0.208	0.000	0.000	0.043	0.000	0.000	0.156	0.000	0.017	0.126	0.132	0.124	0.000	0.000	0.262	0.115	0.187	0.143	0.000	0.281	0.000	0.000	0.111	0.181	0.103	0.123	0.000	0.274	0.000
coffee	0.000	0.000	0.000	0.028	0.056	1.000	0.157	0.099	0.000	0.000	0.000	0.000	0.170	0.133	0.000	0.147	0.000	0.000	0.211	0.000	0.000	0.000	0.115	0.000	0.000	0.141	0.000	0.000	0.096	0.130	0.133	0.126	0.226	0.000	0.080	0.000	0.000	0.000	0.144	0.000	0.106	0.000	0.000	0.077	0.000	0.000	0.088
comfort_food_reasons_coded.1	-0.069	0.151	0.176	0.147	0.227	0.157	1.000	0.132	0.143	0.172	0.164	0.000	-0.031	0.000	0.081	0.000	0.162	0.157	-0.021	0.125	0.135	0.129	0.049	0.000	-0.064	0.042	-0.080	0.058	0.000	0.044	0.266	0.209	0.182	0.000	0.000	0.000	0.173	-0.090	0.128	0.083	0.000	0.021	0.056	0.175	0.000	0.000	-0.072
cook	0.000	0.329	0.100	0.055	0.119	0.099	0.132	1.000	0.000	0.168	0.104	0.000	0.000	0.034	0.000	0.092	0.161	0.137	0.000	0.000	0.159	0.000	0.143	0.000	0.000	0.170	0.000	0.000	0.126	0.073	0.000	0.079	0.166	0.079	0.154	0.092	0.000	0.000	0.000	0.138	0.037	0.106	0.170	0.000	0.055	0.223	0.145
cuisine	-0.067	0.000	0.000	0.000	0.174	0.000	0.143	0.000	1.000	0.087	0.133	0.000	0.110	0.000	0.000	0.000	0.073	0.179	0.001	0.135	0.228	0.000	0.038	0.000	0.133	0.088	-0.104	0.076	0.208	0.098	0.384	0.190	0.000	0.000	0.062	0.144	0.102	0.138	0.000	0.099	0.066	0.078	0.000	0.096	0.000	0.243	0.125
diet_current_coded	0.115	0.064	0.186	0.100	0.075	0.000	0.172	0.168	0.087	1.000	0.305	0.198	0.258	0.030	0.000	0.000	0.078	0.045	0.000	0.000	0.154	0.103	0.000	0.000	0.100	0.126	0.213	0.000	0.110	0.109	0.295	0.000	0.197	0.167	0.000	0.001	0.032	0.000	0.000	0.012	0.047	0.073	0.000	0.216	0.138	0.157	0.114
drink	0.162	0.164	0.166	0.000	0.040	0.000	0.164	0.104	0.133	0.305	1.000	0.189	0.131	0.000	0.115	0.129	0.000	0.000	0.000	0.022	0.191	0.081	0.000	0.061	0.000	0.000	0.243	0.172	0.000	0.116	0.000	0.163	0.209	0.000	0.000	0.014	0.270	0.101	0.000	0.000	0.000	0.000	0.000	0.252	0.126	0.000	0.192
eating_changes_coded	0.126	0.077	0.123	0.000	0.000	0.000	0.000	0.000	0.000	0.198	0.189	1.000	0.784	0.000	0.159	0.108	0.000	0.137	0.000	0.000	0.000	0.000	0.000	0.074	0.000	0.000	0.000	0.133	0.178	0.000	0.181	0.099	0.152	0.123	0.000	0.100	0.000	0.000	0.000	0.000	0.068	0.121	0.000	0.000	0.086	0.000	0.080
eating_changes_coded1	0.081	0.000	0.106	0.164	0.000	0.170	-0.031	0.000	0.110	0.258	0.131	0.784	1.000	0.080	0.055	0.073	0.000	0.000	0.094	0.000	0.121	0.072	0.000	0.037	-0.030	-0.021	-0.009	0.138	0.042	0.018	0.000	0.088	0.136	0.023	0.000	0.022	0.119	-0.043	0.196	0.000	0.067	0.000	0.000	0.000	0.183	0.000	0.014
eating_out	0.084	0.065	0.000	0.067	0.154	0.133	0.000	0.034	0.000	0.030	0.000	0.000	0.080	1.000	0.000	0.000	0.000	0.227	0.027	0.094	0.079	0.000	0.103	0.000	0.109	0.000	0.000	0.000	0.000	0.090	0.112	0.097	0.000	0.000	0.161	0.056	0.115	0.000	0.000	0.000	0.000	0.000	0.093	0.000	0.116	0.116	0.167
employment	0.000	0.125	0.000	0.000	0.105	0.000	0.081	0.000	0.000	0.000	0.115	0.159	0.055	0.000	1.000	0.000	0.000	0.114	0.000	0.000	0.042	0.000	0.000	0.052	0.000	0.060	0.115	0.000	0.000	0.000	0.000	0.098	0.073	0.343	0.000	0.000	0.000	0.170	0.000	0.141	0.103	0.105	0.000	0.000	0.000	0.000	0.070
ethnic_food	0.220	0.140	0.322	0.159	0.090	0.147	0.000	0.092	0.000	0.000	0.129	0.108	0.073	0.000	0.000	1.000	0.000	0.089	0.256	0.244	0.035	0.258	0.000	0.332	0.000	0.000	0.000	0.464	0.170	0.143	0.000	0.000	0.154	0.000	0.073	0.105	0.365	0.000	0.264	0.000	0.395	0.000	0.049	0.166	0.066	0.057	0.000
exercise	0.069	0.154	0.000	0.200	0.000	0.000	0.162	0.161	0.073	0.078	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.201	0.070	0.000	0.202	0.000	0.000	0.000	0.107	0.000	0.000	0.000	0.119	0.119	0.000	0.000	0.000	0.308	0.000	0.418	0.000	0.075	0.069	0.103	0.000	0.000	0.225
father_education	0.213	0.000	0.190	0.019	0.277	0.000	0.157	0.137	0.179	0.045	0.000	0.137	0.000	0.227	0.114	0.089	0.000	1.000	0.326	0.026	0.036	0.159	0.081	0.106	0.144	0.090	0.274	0.134	0.256	0.154	0.321	0.306	0.102	0.139	0.092	0.186	0.139	0.000	0.000	0.114	0.000	0.120	0.083	0.135	0.171	0.085	0.000
fav_cuisine_coded	-0.028	0.156	0.241	0.000	0.208	0.211	-0.021	0.000	0.001	0.000	0.000	0.000	0.094	0.027	0.000	0.256	0.000	0.326	1.000	0.115	0.343	0.188	0.000	0.160	-0.043	-0.046	-0.286	0.206	0.349	0.031	0.209	0.246	0.034	0.000	0.167	0.223	0.182	0.055	0.000	0.000	0.211	0.162	0.000	0.249	0.101	0.125	0.039
fav_food	0.000	0.078	0.190	0.078	0.000	0.000	0.125	0.000	0.135	0.000	0.022	0.000	0.000	0.094	0.000	0.244	0.000	0.026	0.115	1.000	0.085	0.119	0.000	0.254	0.000	0.000	0.000	0.127	0.093	0.061	0.150	0.169	0.000	0.081	0.109	0.139	0.076	0.089	0.253	0.063	0.095	0.000	0.131	0.127	0.000	0.000	0.000
fries	0.191	0.000	0.000	0.000	0.000	0.000	0.135	0.159	0.228	0.154	0.191	0.000	0.121	0.079	0.042	0.035	0.000	0.036	0.343	0.085	1.000	0.000	0.055	0.102	0.000	0.000	0.000	0.152	0.000	0.152	0.000	0.000	0.000	0.000	0.000	0.107	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.277	0.142	0.258
fruit_day	0.307	0.064	0.299	0.164	0.043	0.000	0.129	0.000	0.000	0.103	0.081	0.000	0.072	0.000	0.000	0.258	0.201	0.159	0.188	0.119	0.000	1.000	0.097	0.126	0.171	0.000	0.000	0.124	0.000	0.111	0.000	0.079	0.146	0.000	0.000	0.000	0.014	0.165	0.165	0.000	0.024	0.000	0.079	0.426	0.247	0.000	0.000
grade_level	0.071	0.000	0.128	0.000	0.000	0.115	0.049	0.143	0.038	0.000	0.000	0.000	0.000	0.103	0.000	0.000	0.070	0.081	0.000	0.000	0.055	0.097	1.000	0.134	0.000	0.080	0.171	0.045	0.165	0.000	0.058	0.091	0.136	0.261	0.095	0.000	0.107	0.140	0.000	0.215	0.213	0.000	0.033	0.067	0.000	0.000	0.179
greek_food	0.102	0.160	0.258	0.099	0.000	0.000	0.000	0.000	0.000	0.000	0.061	0.074	0.037	0.000	0.052	0.332	0.000	0.106	0.160	0.254	0.102	0.126	0.134	1.000	0.000	0.000	0.000	0.367	0.165	0.000	0.000	0.105	0.108	0.000	0.000	0.000	0.414	0.000	0.000	0.034	0.321	0.000	0.000	0.103	0.000	0.080	0.000
healthy_feeling	-0.077	0.211	0.000	0.153	0.156	0.000	-0.064	0.000	0.133	0.100	0.000	0.000	-0.030	0.109	0.000	0.000	0.202	0.144	-0.043	0.000	0.000	0.171	0.000	0.000	1.000	-0.034	0.014	0.000	0.000	0.626	0.000	0.000	0.163	0.000	0.145	0.102	0.000	0.016	0.000	0.298	0.071	0.000	0.000	0.162	0.052	0.000	0.048
ideal_diet_coded	-0.151	0.290	0.000	0.237	0.000	0.141	0.042	0.170	0.088	0.126	0.000	0.000	-0.021	0.000	0.060	0.000	0.000	0.090	-0.046	0.000	0.000	0.000	0.080	0.000	-0.034	1.000	0.082	0.000	0.000	-0.004	0.374	0.237	0.046	0.000	0.081	0.000	0.000	-0.283	0.000	0.160	0.000	0.000	0.063	0.163	0.000	0.000	0.096
income	0.083	0.000	0.161	0.000	0.017	0.000	-0.080	0.000	-0.104	0.213	0.243	0.000	-0.009	0.000	0.115	0.000	0.000	0.274	-0.286	0.000	0.000	0.000	0.171	0.000	0.014	0.082	1.000	0.052	0.085	0.038	0.000	0.186	0.072	0.000	0.000	0.031	0.000	-0.147	0.151	0.148	0.000	0.000	0.106	0.030	0.000	0.122	0.158
indian_food	0.066	0.000	0.190	0.097	0.126	0.000	0.058	0.000	0.076	0.000	0.172	0.133	0.138	0.000	0.000	0.464	0.000	0.134	0.206	0.127	0.152	0.124	0.045	0.367	0.000	0.000	0.052	1.000	0.030	0.107	0.000	0.151	0.000	0.094	0.000	0.000	0.547	0.000	0.067	0.000	0.557	0.000	0.000	0.000	0.000	0.126	0.000
italian_food	0.170	0.000	0.000	0.000	0.132	0.096	0.000	0.126	0.208	0.110	0.000	0.178	0.042	0.000	0.000	0.170	0.107	0.256	0.349	0.093	0.000	0.000	0.165	0.165	0.000	0.000	0.085	0.030	1.000	0.068	0.272	0.227	0.000	0.000	0.000	0.000	0.059	0.179	0.080	0.230	0.164	0.143	0.000	0.100	0.170	0.139	0.000
life_rewarding	-0.005	0.000	0.110	0.000	0.124	0.130	0.044	0.073	0.098	0.109	0.116	0.000	0.018	0.090	0.000	0.143	0.000	0.154	0.031	0.061	0.152	0.111	0.000	0.000	0.626	-0.004	0.038	0.107	0.068	1.000	0.218	0.052	0.088	0.000	0.000	0.000	0.104	-0.128	0.000	0.000	0.000	0.000	0.000	0.140	0.000	0.061	-0.077
marital_status	0.364	0.191	0.219	0.000	0.000	0.133	0.266	0.000	0.384	0.295	0.000	0.181	0.000	0.112	0.000	0.000	0.000	0.321	0.209	0.150	0.000	0.000	0.058	0.000	0.000	0.374	0.000	0.000	0.272	0.218	1.000	0.302	0.000	0.062	0.170	0.150	0.000	0.000	0.114	0.077	0.000	0.131	0.000	0.029	0.182	0.041	0.000
mother_education	0.238	0.205	0.000	0.000	0.000	0.126	0.209	0.079	0.190	0.000	0.163	0.099	0.088	0.097	0.098	0.000	0.000	0.306	0.246	0.169	0.000	0.079	0.091	0.105	0.000	0.237	0.186	0.151	0.227	0.052	0.302	1.000	0.000	0.000	0.000	0.123	0.176	0.000	0.000	0.000	0.000	0.000	0.086	0.079	0.000	0.000	0.019
nutritional_check	0.207	0.120	0.081	0.269	0.262	0.226	0.182	0.166	0.000	0.197	0.209	0.152	0.136	0.000	0.073	0.154	0.119	0.102	0.034	0.000	0.000	0.146	0.136	0.108	0.163	0.046	0.072	0.000	0.000	0.088	0.000	0.000	1.000	0.000	0.000	0.104	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.206	0.374	0.000	0.000
on_off_campus	0.138	0.069	0.109	0.000	0.115	0.000	0.000	0.079	0.000	0.167	0.000	0.123	0.023	0.000	0.343	0.000	0.119	0.139	0.000	0.081	0.000	0.000	0.261	0.000	0.000	0.000	0.000	0.094	0.000	0.000	0.062	0.000	0.000	1.000	0.068	0.000	0.071	0.056	0.000	0.000	0.063	0.000	0.092	0.000	0.000	0.000	0.094
parents_cook	0.000	0.068	0.000	0.000	0.187	0.080	0.000	0.154	0.062	0.000	0.000	0.000	0.000	0.161	0.000	0.073	0.000	0.092	0.167	0.109	0.000	0.000	0.095	0.000	0.145	0.081	0.000	0.000	0.000	0.000	0.170	0.000	0.000	0.068	1.000	0.117	0.000	0.000	0.000	0.164	0.000	0.159	0.039	0.000	0.000	0.044	0.000
pay_meal_out	0.077	0.115	0.000	0.000	0.143	0.000	0.000	0.092	0.144	0.001	0.014	0.100	0.022	0.056	0.000	0.105	0.000	0.186	0.223	0.139	0.107	0.000	0.000	0.000	0.102	0.000	0.031	0.000	0.000	0.000	0.150	0.123	0.104	0.000	0.117	1.000	0.000	0.000	0.000	0.000	0.095	0.000	0.000	0.143	0.193	0.000	0.159
persian_food	0.000	0.000	0.000	0.000	0.000	0.000	0.173	0.000	0.102	0.032	0.270	0.000	0.119	0.115	0.000	0.365	0.000	0.139	0.182	0.076	0.000	0.014	0.107	0.414	0.000	0.000	0.000	0.547	0.059	0.104	0.000	0.176	0.000	0.071	0.000	0.000	1.000	0.000	0.131	0.000	0.395	0.107	0.000	0.000	0.000	0.000	0.147
self_perception_weight	0.020	0.240	0.000	0.151	0.281	0.000	-0.090	0.000	0.138	0.000	0.101	0.000	-0.043	0.000	0.170	0.000	0.308	0.000	0.055	0.089	0.000	0.165	0.140	0.000	0.016	-0.283	-0.147	0.000	0.179	-0.128	0.000	0.000	0.000	0.056	0.000	0.000	0.000	1.000	0.000	0.297	0.000	0.073	0.000	0.096	0.000	0.073	0.207
soup	0.000	0.000	0.122	0.000	0.000	0.144	0.128	0.000	0.000	0.000	0.000	0.000	0.196	0.000	0.000	0.264	0.000	0.000	0.000	0.253	0.000	0.165	0.000	0.000	0.000	0.000	0.151	0.067	0.080	0.000	0.114	0.000	0.000	0.000	0.000	0.000	0.131	0.000	1.000	0.000	0.000	0.099	0.000	0.117	0.000	0.000	0.181
sports	0.000	0.155	0.000	0.079	0.000	0.000	0.083	0.138	0.099	0.012	0.000	0.000	0.000	0.000	0.141	0.000	0.418	0.114	0.000	0.063	0.000	0.000	0.215	0.034	0.298	0.160	0.148	0.000	0.230	0.000	0.077	0.000	0.000	0.000	0.164	0.000	0.000	0.297	0.000	1.000	0.079	0.143	0.146	0.000	0.000	0.000	0.271
thai_food	0.153	0.147	0.000	0.135	0.111	0.106	0.000	0.037	0.066	0.047	0.000	0.068	0.067	0.000	0.103	0.395	0.000	0.000	0.211	0.095	0.000	0.024	0.213	0.321	0.071	0.000	0.000	0.557	0.164	0.000	0.000	0.000	0.000	0.063	0.000	0.095	0.395	0.000	0.000	0.079	1.000	0.077	0.068	0.000	0.000	0.030	0.189
tortilla_calories	0.151	0.163	0.000	0.117	0.181	0.000	0.021	0.106	0.078	0.073	0.000	0.121	0.000	0.000	0.105	0.000	0.075	0.120	0.162	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.143	0.000	0.131	0.000	0.000	0.000	0.159	0.000	0.107	0.073	0.099	0.143	0.077	1.000	0.255	0.093	0.000	0.228	0.082
turkey_calories	0.108	0.282	0.033	0.168	0.103	0.000	0.056	0.170	0.000	0.000	0.000	0.000	0.000	0.093	0.000	0.049	0.069	0.083	0.000	0.131	0.000	0.079	0.033	0.000	0.000	0.063	0.106	0.000	0.000	0.000	0.000	0.086	0.000	0.092	0.039	0.000	0.000	0.000	0.000	0.146	0.068	0.255	1.000	0.079	0.000	0.213	0.040
veggies_day	0.173	0.100	0.295	0.107	0.123	0.077	0.175	0.000	0.096	0.216	0.252	0.000	0.000	0.000	0.000	0.166	0.103	0.135	0.249	0.127	0.000	0.426	0.067	0.103	0.162	0.163	0.030	0.000	0.100	0.140	0.029	0.079	0.206	0.000	0.000	0.143	0.000	0.096	0.117	0.000	0.000	0.093	0.079	1.000	0.233	0.102	0.000
vitamins	0.000	0.000	0.000	0.309	0.000	0.000	0.000	0.055	0.000	0.138	0.126	0.086	0.183	0.116	0.000	0.066	0.000	0.171	0.101	0.000	0.277	0.247	0.000	0.000	0.052	0.000	0.000	0.000	0.170	0.000	0.182	0.000	0.374	0.000	0.000	0.193	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.233	1.000	0.165	0.000
waffle_calories	0.000	0.000	0.000	0.130	0.274	0.000	0.000	0.223	0.243	0.157	0.000	0.000	0.000	0.116	0.000	0.057	0.000	0.085	0.125	0.000	0.142	0.000	0.000	0.080	0.000	0.000	0.122	0.126	0.139	0.061	0.041	0.000	0.000	0.000	0.044	0.000	0.000	0.073	0.000	0.000	0.030	0.228	0.213	0.102	0.165	1.000	0.119
weight	-0.051	0.502	0.000	0.000	0.000	0.088	-0.072	0.145	0.125	0.114	0.192	0.080	0.014	0.167	0.070	0.000	0.225	0.000	0.039	0.000	0.258	0.000	0.179	0.000	0.048	0.096	0.158	0.000	0.000	-0.077	0.000	0.019	0.000	0.094	0.000	0.159	0.147	0.207	0.181	0.271	0.189	0.082	0.040	0.000	0.000	0.119	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	GPA	Gender	breakfast	calories_day	calories_scone	coffee	comfort_food	comfort_food_reasons	cook	comfort_food_reasons_coded.1	cuisine	diet_current_coded	drink	eating_changes	eating_changes_coded	eating_changes_coded1	eating_out	employment	ethnic_food	exercise	father_education	father_profession	fav_cuisine	fav_cuisine_coded	fav_food	fries	fruit_day	grade_level	greek_food	healthy_feeling	ideal_diet_coded	income	indian_food	italian_food	life_rewarding	marital_status	mother_education	mother_profession	nutritional_check	on_off_campus	parents_cook	pay_meal_out	persian_food	self_perception_weight	soup	sports	thai_food	tortilla_calories	turkey_calories	type_sports	veggies_day	vitamins	waffle_calories	weight
0	2.400	2	1	0.0	315.0	1	none	we dont have comfort	2.0	9	6.0	1	1.0	eat faster	1	1	3	3.0	1	1.0	5.0	profesor	Arabic cuisine	3	1.0	2	5	2	5	2	8	5.0	5	5	1.0	1.0	1.0	unemployed	5	1.0	1	2	5.0	3.0	1.0	1.0	1	1165.0	345	car racing	5	1	1315	187.000000
1	3.654	1	1	3.0	420.0	2	chocolate, chips, ice cream	Stress, bored, anger	3.0	1	1.0	2	2.0	I eat out more than usual.	1	2	2	2.0	4	1.0	2.0	Self employed	Italian	1	1.0	1	4	4	4	5	3	4.0	4	4	1.0	2.0	4.0	Nurse RN	4	1.0	1	4	4.0	3.0	1.0	1.0	2	725.0	690	Basketball	4	2	900	155.000000
2	3.300	1	1	4.0	420.0	2	frozen yogurt, pizza, fast food	stress, sadness	1.0	1	3.0	3	1.0	sometimes choosing to eat fast food instead of cooking simply for convenience	1	3	2	3.0	5	2.0	2.0	owns business	italian	1	3.0	1	5	3	5	6	6	6.0	5	5	7.0	2.0	2.0	owns business	4	2.0	1	3	5.0	6.0	1.0	2.0	5	1165.0	500	none	5	1	900	159.173554
3	3.200	1	1	3.0	420.0	2	Pizza, Mac and cheese, ice cream	Boredom	2.0	2	2.0	2	2.0	Accepting cheap and premade/store bought foods	1	3	2	3.0	5	3.0	2.0	Mechanic	Turkish	3	1.0	2	4	4	5	7	2	6.0	5	5	2.0	2.0	4.0	Special Education Teacher	2	1.0	1	2	5.0	5.0	1.0	2.0	5	725.0	690	Unknow	3	1	1315	240.000000
4	3.500	1	1	2.0	420.0	2	Ice cream, chocolate, chips	Stress, boredom, cravings	1.0	1	2.0	2	2.0	I have eaten generally the same foods but I do find myself eating the same food frequently due to what I have found I like from egan and the laker.	3	4	2	2.0	4	1.0	4.0	IT	Italian	1	3.0	1	4	4	4	6	2	6.0	2	5	1.0	1.0	5.0	Substance Abuse Conselor	3	1.0	1	4	2.0	4.0	1.0	1.0	4	940.0	500	Softball	4	2	760	190.000000
5	2.250	1	1	3.0	980.0	2	Candy, brownies and soda.	None, i don't eat comfort food. I just eat when i'm hungry.	3.0	4	6.0	2	2.0	Eating rice everyday. Eating less homemade food.	1	3	1	3.0	4	2.0	1.0	Taxi Driver	African	6	3.0	1	2	2	2	4	2	1.0	5	5	4.0	2.0	1.0	Hair Braider	1	1.0	2	5	5.0	5.0	1.0	2.0	4	940.0	345	None.	1	2	1315	190.000000
6	3.800	2	1	3.0	420.0	2	Chocolate, ice cream, french fries, pretzels	stress, boredom	2.0	1	1.0	3	1.0	I started eating a lot less and healthier because I wasn't playing sports year round anymore.	2	5	2	3.0	5	1.0	4.0	Assembler	Thai	4	1.0	1	4	4	5	4	2	4.0	5	5	8.0	1.0	4.0	Journalist	4	2.0	2	2	5.0	4.0	1.0	1.0	5	940.0	690	soccer	4	1	1315	180.000000
7	3.300	1	1	3.0	420.0	1	Ice cream, cheeseburgers, chips.	I eat comfort food when im stressed out from school(finals week), when I`m sad, or when i am dealing with personal family issues.	3.0	1	1.0	1	2.0	Freshmen year i ate very unhealthy, but now it is much healthier because of self control.	2	5	2	2.0	2	2.0	3.0	Business guy	Anything american style.	5	1.0	1	5	2	3	3	2	5.0	1	3	3.0	1.0	2.0	cook	4	1.0	1	5	1.0	3.0	1.0	2.0	1	725.0	500	none	4	2	1315	137.000000
8	3.300	1	1	0.0	420.0	1	Donuts, ice cream, chips	Boredom	3.0	2	1.0	1	1.0	I snack less	2	8	5	2.0	5	0.0	5.0	High School Principal	Seafood	1	3.0	1	4	1	5	7	6	5.0	5	5	8.0	2.0	5.0	Elementary School Teacher	2	1.0	2	3	5.0	4.0	2.0	2.0	5	725.0	345	none	3	2	760	180.000000
9	3.300	1	1	3.0	315.0	2	Mac and cheese, chocolate, and pasta	Stress, anger and sadness	3.0	1	1.0	1	1.0	I cook a lot of my own foods back at home so not being able to cook my own healthy choices. I eat more carbs than normal when I'm at college due to the choices given in the cafe.	1	3	3	3.0	5	1.0	5.0	commissioner of erie county	Italian	1	1.0	1	5	1	5	3	2	4.0	4	5	3.0	2.0	5.0	Pharmaceutical rep	5	1.0	3	3	4.0	3.0	1.0	1.0	4	580.0	345	field hockey	5	1	900	125.000000

	GPA	Gender	breakfast	calories_day	calories_scone	coffee	comfort_food	comfort_food_reasons	cook	comfort_food_reasons_coded.1	cuisine	diet_current_coded	drink	eating_changes	eating_changes_coded	eating_changes_coded1	eating_out	employment	ethnic_food	exercise	father_education	father_profession	fav_cuisine	fav_cuisine_coded	fav_food	fries	fruit_day	grade_level	greek_food	healthy_feeling	ideal_diet_coded	income	indian_food	italian_food	life_rewarding	marital_status	mother_education	mother_profession	nutritional_check	on_off_campus	parents_cook	pay_meal_out	persian_food	self_perception_weight	soup	sports	thai_food	tortilla_calories	turkey_calories	type_sports	veggies_day	vitamins	waffle_calories	weight
115	3.300	2	1	4.0	980.0	2	chocolate bar, ice cream, pretzels, potato chips and protein bars.	Stress, boredom and physical activity	4.0	1	1.0	2	2.0	Eating more dairy due to more ice cream intake.	1	3	2	2.0	2	1.0	5.0	Pharmaceutical	I do not like cuisine	0	3.0	1	5	1	1	10	3	6.0	1	4	10.0	2.0	5.0	Health teacher	1	1.0	1	5	2.0	2.0	1.0	1.0	1	1165.0	690	Hockey	2	2	1315	150.0
116	3.400	1	1	0.0	420.0	2	Ice cream, chocolate, pizza, cucumber	loneliness, homework, boredom	3.0	2	6.0	2	1.0	less vegetable more sweats	1	3	4	3.0	4	2.0	3.0	Business Man	Chinese	4	2.0	1	5	1	1	5	5	1.0	3	5	2.0	1.0	3.0	Business Woman	2	1.0	2	3	1.0	4.0	1.0	2.0	5	725.0	345	none	5	1	1315	170.0
117	3.770	1	1	0.0	315.0	2	Noodle ( any kinds of noodle), Tuna sandwich, and Egg.\r	When i'm eating with my close friends/ Food smell or look good/ when I feel tired	3.0	5	4.0	1	1.0	I eat more vegetable. Since coming to college, I started to eat salads and tried to eat salads at least three times a week.	2	5	2	2.0	4	0.0	2.0	His own business	Vietnamese cuisine	4	3.0	1	3	2	2	9	2	2.0	2	4	7.0	1.0	2.0	Her own business	2	1.0	1	2	2.0	4.0	1.0	2.0	5	725.0	690	No, I don't play sport.	3	1	760	113.0
118	3.630	1	1	3.0	420.0	1	Chinese, chips, cake	Stress and boredom	3.0	1	1.0	2	1.0	I try to eat more fruits and vegetables	2	5	2	2.0	4	2.0	2.0	HVAC technician	American	5	1.0	1	5	2	3	5	5	3.0	3	5	8.0	2.0	2.0	Grieveance coordinator of the SCI albion prison	2	3.0	3	4	2.0	4.0	1.0	2.0	4	940.0	345	Unknow	5	2	1315	140.0
119	3.200	2	1	3.0	420.0	2	chips, rice, chicken curry,	Happiness, boredom, social event	2.0	7	5.0	2	1.0	Started eating a lot of protein rich food that i didnt before.	2	5	2	2.0	5	2.0	5.0	United Nations	Indian	8	3.0	1	5	4	5	7	3	2.0	5	5	6.0	2.0	5.0	Banker	2	1.0	1	3	5.0	4.0	1.0	1.0	5	1165.0	690	Soccer	5	2	1315	185.0
120	3.500	1	1	4.0	420.0	2	wine. mac and cheese, pizza, ice cream	boredom and sadness	3.0	2	1.0	2	2.0	I have noticed there is less time for a prepared meal, so quick and easy has become the norm.	1	3	2	1.0	4	2.0	4.0	Accountant	Italian	1	1.0	1	5	4	5	5	6	4.0	3	5	7.0	1.0	3.0	Radiological Technician	5	3.0	1	4	3.0	4.0	1.0	1.0	5	940.0	500	Softball	5	1	1315	156.0
121	3.000	1	1	2.0	315.0	2	Pizza / Wings / Cheesecake	Loneliness / Homesick / Sadness	3.0	3	6.0	2	1.0	Eating Pizza as an excuse when there is nothing else to it.	1	3	4	3.0	3	2.0	5.0	Doctor	Mexican Food	2	1.0	1	4	4	1	5	5	2.0	5	5	7.0	1.0	2.0	Public Health Advisor	3	1.0	3	4	1.0	4.0	1.0	NaN	4	940.0	500	basketball	5	2	1315	180.0
122	3.882	1	1	0.0	420.0	1	rice, potato, seaweed soup	sadness	3.0	3	6.0	2	1.0	less rice	1	3	3	3.0	5	2.0	5.0	CEO of company	Korean	4	1.0	1	4	3	5	6	2	2.0	5	3	10.0	1.0	1.0	Real Estate manageer	3	1.0	2	4	5.0	4.0	1.0	2.0	5	580.0	690	none	4	2	1315	120.0
123	3.000	2	1	4.0	420.0	1	Mac n Cheese, Lasagna, Pizza	happiness, they are some of my favorite foods	3.0	7	1.0	1	2.0	I don't eat as much on a daily basis since coming to college.	1	8	5	2.0	2	1.0	3.0	Store manager at Giant Eagle	Italian	1	3.0	1	5	1	1	1	6	4.0	1	5	1.0	1.0	2.0	Receptionist for a medical supply company	4	1.0	2	3	1.0	2.0	2.0	2.0	1	940.0	500	Unknow	3	1	1315	135.0
124	3.900	1	1	0.0	315.0	2	Chocolates, pizza, and Ritz.	hormones, Premenstrual syndrome.	NaN	5	3.0	1	1.0	I have learned to eat more vegetables.	2	5	1	2.0	3	2.0	4.0	Journalist	HISPANIC CUISINE.	2	1.0	1	3	3	2	3	3	5.0	2	3	5.0	2.0	3.0	House-wife	5	1.0	3	3	2.0	3.0	1.0	2.0	2	725.0	345	Unknow	4	2	575	135.0

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

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Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category